---
title: '‘DeepSeek’ directory'
description: "Bibliography for directory <code>ai/nn/deepseek</code>, most recent first: 82 <a class='icon-not' href='/doc/ai/nn/deepseek/index#links'>annotations</a> & 32 <a class='icon-not' href='/doc/ai/nn/deepseek/index#miscellaneous'>links</a> (<a href='/doc/ai/nn/index' class='link-page link-tag directory-indexes-upwards link-annotated' data-link-icon='arrow-up-left' data-link-icon-type='svg' rel='tag' title='Link to parent directory'>parent</a>)."
created: 2024-10-14
modified: 2026-09-26
status: in progress
previous: /doc/ai/nn/cnn/index
next: /doc/ai/nn/diffusion/index
confidence: log
importance: 0
css-extension: dropcaps-not
index: True
backlink: False
...

# See Also

::: {#see-alsos .directory-indexes .columns}
-   [Parent ('*`NN`{=html}*' tag)](/doc/ai/nn/index "Link to parent directory 'doc/ai/nn/' (ascending)"){#_ujmXzDuq
    .link-annotated .link-tag .directory-indexes-upwards rel="tag"}
:::

# Gwern {.display-pop-not}

## `“Brainstorming ‘Yogasm’ Comic Ideas With 5 LLMs <span class=editorial>[Claude-4.8-Opus Won]</span>”, Gwern et al 2026`{=html} {#gwern-et-al-2026-section}

**[`Brainstorming ‘yogasm’ comic ideas with 5 LLMs <span class=editorial>[Claude-4.8-opus won]</span>`{=html}](/doc/ai/nn/transformer/gpt/claude/4/2026-03-03-gwern-comicideas-yogas-5llmbrainstormingsessionswithclaude48opuswinning.txt "'Brainstorming ‘yogasm’ comic ideas with 5 LLMs <span class=editorial>[Claude-4.8-opus won]</span>', Gwern et al 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="txt" link-icon-type="svg"}**

## `“Traitor Joe’s”, Gwern et al 2026`{=html} {#gwern-et-al-2026-section}

**[`Traitor Joe’s`{=html}](/doc/ai/nn/transformer/gpt/dall-e/4o/2026-05-30-gwern-deepseekv4-gpt55pro-chatgptimages20-comic-traitorjoes.jpg "'Traitor Joe’s', Gwern et al 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“‘Reinforcement Learning for Children’ Prompt and Draft Samples”, Gwern 2026`{=html} {#gwern-2026-section}

**[`‘Reinforcement Learning for Children’ prompt and draft samples`{=html}](/doc/fiction/text-game/2026-05-09-gwern-reinforcementlearningforgradeschoolers.txt "'‘Reinforcement Learning for Children’ prompt and draft samples', Gwern 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="txt" link-icon-type="svg"}**

## `“How Long Would ‘Weird Al’ Survive In An Ice Cream Freezer?”, Gwern et al 2026`{=html} {#gwern-et-al-2026-section}

**[`How Long Would ‘Weird Al’ Survive In An Ice Cream Freezer?`{=html}](/rocky-road "'How Long Would ‘Weird Al’ Survive In An Ice Cream Freezer?', Gwern et al 2026"){.link-annotated
.id-not .include-annotation}**

# Links {.display-pop-not}

## `“DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale”, Huang et al 2026`{=html} {#huang-et-al-2026-section}

**[`DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale`{=html}](https://arxiv.org/abs/2609.22978#deepseek "'DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale', Huang et al 2026"){.link-modified-recently
.link-annotated .id-not .include-annotation link-icon="deepseek"
link-icon-type="svg" link-icon-color="#4d6bfe"}**

## `“Countering Misuse of AI: September 2026”, Anthropic 2026`{=html} {#anthropic-2026-section}

**[`Countering misuse of AI: September 2026`{=html}](https://www.anthropic.com/threat-intelligence-report-september-2026 "'Countering misuse of AI: September 2026', Anthropic 2026"){.link-modified-recently
.link-annotated-partial .id-not .include-annotation
link-icon="anthropic" link-icon-type="svg" link-icon-color="#d4a27f"}**

## `“Notes on DeepSeek”, Anonymous 2026`{=html} {#anonymous-2026-section}

**[`Notes on DeepSeek`{=html}](https://news.ycombinator.com/item?id=48476474 "'Notes on DeepSeek', Anonymous 2026"){.link-annotated
.id-not .include-annotation link-icon="hacker-news" link-icon-type="svg"
link-icon-color="#f26522"}**

## `“Notes from inside China’s AI Labs: Lessons from My Trip to Talk to Most of the Leading AI Labs in China”, Lambert 2026`{=html} {#lambert-2026-section}

**[`Notes from inside China’s AI labs: Lessons from my trip to talk to most of the leading AI labs in China`{=html}](https://www.interconnects.ai/p/notes-from-inside-chinas-ai-labs "'Notes from inside China’s AI labs: Lessons from my trip to talk to most of the leading AI labs in China', Lambert 2026"){.link-annotated-partial
.id-not .include-annotation}**

## `“DeepSeek V4 Preview Release”, DeepSeek 2026`{=html} {#deepseek-2026-section}

**[`DeepSeek V4 Preview Release`{=html}](https://api-docs.deepseek.com/news/news260424 "'DeepSeek V4 Preview Release', DeepSeek 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Zork-Bench: An LLM Reasoning Eval Based on Text Adventure Games; a Tale As Old As Time, or at Least As Old As Computers”, Aiken 2026`{=html} {#aiken-2026-section}

**[`zork-bench: An LLM reasoning eval based on text adventure games; a tale as old as time, or at least as old as computers`{=html}](https://www.lowimpactfruit.com/p/zork-bench-an-llm-reasoning-eval "'zork-bench: An LLM reasoning eval based on text adventure games; a tale as old as time, or at least as old as computers', Aiken 2026"){.link-annotated
.id-not .include-annotation}**

## `“StoryScope: Investigating Idiosyncrasies in AI Fiction”, Russell et al 2026`{=html} {#russell-et-al-2026-section}

**[`StoryScope: Investigating idiosyncrasies in AI fiction`{=html}](https://arxiv.org/abs/2604.03136 "'StoryScope: Investigating idiosyncrasies in AI fiction', Russell et al 2026"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“StoryScope: Investigating Idiosyncrasies in AI Fiction”, Russell 2026`{=html} {#russell-2026-section}

**[`StoryScope: Investigating idiosyncrasies in AI fiction`{=html}](https://github.com/jenna-russell/storyscope "'StoryScope: Investigating idiosyncrasies in AI fiction', Russell 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="github" link-icon-type="svg"}**

## `“Censored LLMs As a Natural Testbed for Secret Knowledge Elicitation”, Casademunt et al 2026`{=html} {#casademunt-et-al-2026-section}

**[`Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation`{=html}](https://arxiv.org/abs/2603.05494 "'Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation', Casademunt et al 2026"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Detecting and Preventing Distillation Attacks <span class=editorial>[DeepSeek, Moonshot AI, & MiniMax: >16m Conversations from >24k Sockpuppets]</span>”, Anthropic 2026`{=html} {#anthropic-2026-section}

**[`Detecting and preventing distillation attacks <span class=editorial>[DeepSeek, Moonshot AI, & MiniMax: >16m conversations from >24k sockpuppets]</span>`{=html}](https://www.anthropic.com/news/detecting-and-preventing-distillation-attacks "'Detecting and preventing distillation attacks <span class=editorial>[DeepSeek, Moonshot AI, & MiniMax: >16m conversations from >24k sockpuppets]</span>', Anthropic 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="anthropic" link-icon-type="svg"
link-icon-color="#d4a27f"}**

## `“DeepSeek-V3.2 Is Okay &amp; Cheap But Slow”, Mowshowitz 2025`{=html} {#mowshowitz-2025-section}

**[`DeepSeek-V3.2 Is Okay &amp; Cheap But Slow`{=html}](https://thezvi.wordpress.com/2025/12/05/deepseek-v3-2-is-okay-and-cheap-but-slow/ "'DeepSeek-V3.2 Is Okay &amp; Cheap But Slow', Mowshowitz 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models”, DeepSeek et al 2025`{=html} {#deepseek-et-al-2025-section}

**[`DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models`{=html}](https://arxiv.org/abs/2512.02556#deepseek "'DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models', DeepSeek et al 2025"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning”, Shao et al 2025`{=html} {#shao-et-al-2025-section}

**[`DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning`{=html}](https://github.com/deepseek-ai/DeepSeek-Math-V2 "'DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning', Shao et al 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Lean4Physics: Comprehensive Reasoning Framework for College-Level Physics in Lean4”, Li et al 2025`{=html} {#li-et-al-2025-section}

**[`Lean4Physics: Comprehensive Reasoning Framework for College-level Physics in Lean4`{=html}](https://arxiv.org/abs/2510.26094 "'Lean4Physics: Comprehensive Reasoning Framework for College-level Physics in Lean4', Li et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“DeepSeek-OCR: Contexts Optical Compression”, Wei et al 2025`{=html} {#wei-et-al-2025-section}

**[`DeepSeek-OCR: Contexts Optical Compression`{=html}](https://arxiv.org/abs/2510.18234#deepseek "'DeepSeek-OCR: Contexts Optical Compression', Wei et al 2025"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Evaluating Long Context (Reasoning) Ability”`{=html} {#_BFhzE6mK-section}

**[`Evaluating Long Context (Reasoning) Ability`{=html}](https://nrehiew.github.io/blog/long_context/ "Evaluating Long Context (Reasoning) Ability"){.link-annotated-partial
.id-not .include-annotation}**

## `“DeepSeek-V3.2-Exp”, DeepSeek 2025`{=html} {#deepseek-2025-section}

**[`DeepSeek-V3.2-Exp`{=html}](https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp "'DeepSeek-V3.2-Exp', DeepSeek 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek V3.1 [Commentary]”, Mowshowitz 2025`{=html} {#mowshowitz-2025-section}

**[`DeepSeek v3.1 [commentary]`{=html}](https://thezvi.wordpress.com/2025/08/22/deepseek-v3-1-is-not-having-a-moment/ "'DeepSeek v3.1 [commentary]', Mowshowitz 2025"){.id-not
.include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

::: aux-links-transclude-file
::: collapse
**View External Link**:

[`https://thezvi.wordpress.com/2025/08/22/deepseek-v3-1-is-not-having-a-moment/`](https://thezvi.wordpress.com/2025/08/22/deepseek-v3-1-is-not-having-a-moment/){.id-not
.link-annotated-not .include-content .include-lazy link-icon="deepseek"
link-icon-type="svg" link-icon-color="#4d6bfe"}
:::
:::

## `“DeepSeek-V3.1”, DeepSeek 2025`{=html} {#deepseek-2025-section}

**[`DeepSeek-V3.1`{=html}](https://huggingface.co/deepseek-ai/DeepSeek-V3.1 "'DeepSeek-V3.1', DeepSeek 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“TextQuests: How Good Are LLMs at Text-Based Video Games?”, Phan et al 2025`{=html} {#phan-et-al-2025-section}

**[`TextQuests: How Good are LLMs at Text-Based Video Games?`{=html}](https://arxiv.org/abs/2507.23701 "'TextQuests: How Good are LLMs at Text-Based Video Games?', Phan et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“DeepSeek Debrief: &gt;128 Days Later”, Zhou et al 2025`{=html} {#zhou-et-al-2025-section}

**[`DeepSeek Debrief: &gt;128 Days Later`{=html}](https://semianalysis.com/2025/07/03/deepseek-debrief-128-days-later/ "'DeepSeek Debrief: &gt;128 Days Later', Zhou et al 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Details about METR’s Preliminary [Coding] Evaluation of DeepSeek and Qwen Models”, METR 2025`{=html} {#metr-2025-section}

**[`Details about METR’s preliminary [coding] evaluation of DeepSeek and Qwen models`{=html}](https://metr.github.io/autonomy-evals-guide/deepseek-qwen-report/ "'Details about METR’s preliminary [coding] evaluation of DeepSeek and Qwen models', METR 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek R2 Launch Stalled As CEO Balks at Progress, The Information Reports”, Sophia 2025`{=html} {#sophia-2025-section}

**[`DeepSeek R2 launch stalled as CEO balks at progress, The Information reports`{=html}](https://www.reuters.com/world/china/deepseek-r2-launch-stalled-ceo-balks-progress-information-reports-2025-06-26/ "'DeepSeek R2 launch stalled as CEO balks at progress, The Information reports', Sophia 2025"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek-R1-0528 Did Not Have a Moment”, Mowshowitz 2025`{=html} {#mowshowitz-2025-section}

**[`DeepSeek-r1-0528 Did Not Have a Moment`{=html}](https://thezvi.wordpress.com/2025/06/06/deepseek-r1-0528-did-not-have-a-moment/ "'DeepSeek-r1-0528 Did Not Have a Moment', Mowshowitz 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `peterwildeford @ "2025-06-02"`{=html} {#peterwildeford-2025-section}

**[`Latest DeepSeek 4–11 months behind US`{=html}](https://x.com/peterwildeford/status/1929525155069354220 "'Latest DeepSeek 4–11 months behind US', peterwildeford 2025"){.id-not
.include-annotation link-icon="twitter" link-icon-type="svg"
link-icon-color="#1da1f2"}**

::: aux-links-transclude-file
[`https://x.com/peterwildeford/status/1929525155069354220`](https://x.com/peterwildeford/status/1929525155069354220 "'Latest DeepSeek 4–11 months behind US', peterwildeford 2025"){.id-not
.include-content}
:::

## `“DeepSeek-R1-0528 Checkpoint”, DeepSeek 2025`{=html} {#deepseek-2025-section}

**[`DeepSeek-R1-0528 checkpoint`{=html}](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528 "'DeepSeek-R1-0528 checkpoint', DeepSeek 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Reinforcement Learning Finetunes Small Subnetworks in Large Language Models”, Mukherjee et al 2025`{=html} {#mukherjee-et-al-2025-section}

**[`Reinforcement Learning Finetunes Small Subnetworks in Large Language Models`{=html}](https://arxiv.org/abs/2505.11711 "'Reinforcement Learning Finetunes Small Subnetworks in Large Language Models', Mukherjee et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures”, Zhao et al 2025`{=html} {#zhao-et-al-2025-section}

**[`Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures`{=html}](https://arxiv.org/abs/2505.09343#deepseek "'Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures', Zhao et al 2025"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“China’s Superstition Boom in a Godless State § DeepSeek’s Occult Tech Boom”, Li 2025`{=html} {#li-2025-section}

**[`China’s Superstition Boom in a Godless State § DeepSeek’s Occult Tech Boom`{=html}](https://sinopsis.cz/en/chinas-superstition-boom-in-a-godless-state/ "'China’s Superstition Boom in a Godless State § DeepSeek’s Occult Tech Boom', Li 2025"){.link-annotated
.id-not .include-annotation}**

## `“Measuring General Intelligence With Generated Games”, Verma et al 2025`{=html} {#verma-et-al-2025-section}

**[`Measuring General Intelligence with Generated Games`{=html}](https://arxiv.org/abs/2505.07215 "'Measuring General Intelligence with Generated Games', Verma et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Chinese Open Source Model Roundup: DeepSeek, Qwen3, Variants and More [CCP Censorship]”, SpeechMap.ai 2025`{=html} {#speechmapai-2025-section}

**[`Chinese Open Source Model Roundup: DeepSeek, Qwen3, variants and more [CCP censorship]`{=html}](https://speechmap.substack.com/p/chinese-open-source-model-roundup#%C2%A7the-chimera "'Chinese Open Source Model Roundup: DeepSeek, Qwen3, variants and more [CCP censorship]', SpeechMap.ai 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="substack" link-icon-type="svg"
link-icon-color="#ff6719"}**

## `“The Geometry of Self-Verification in a Task-Specific Reasoning Model”, Lee et al 2025`{=html} {#lee-et-al-2025-section}

**[`The Geometry of Self-Verification in a Task-Specific Reasoning Model`{=html}](https://arxiv.org/abs/2504.14379 "'The Geometry of Self-Verification in a Task-Specific Reasoning Model', Lee et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning”, He et al 2025`{=html} {#he-et-al-2025-section}

**[`DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning`{=html}](https://arxiv.org/abs/2504.11456#tencent "'DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning', He et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad”, Petrov et al 2025`{=html} {#petrov-et-al-2025-section}

**[`Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad`{=html}](https://arxiv.org/abs/2503.21934 "'Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad', Petrov et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t”, Dang & Ngo 2025`{=html} {#dang-ngo-2025-section}

**[`Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t`{=html}](https://arxiv.org/abs/2503.16219 "'Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t', Dang & Ngo 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Hydrogen Jukeboxes: on the Crammed Poetics of ‘Creative Writing’ LLMs”, nostalgebraist 2025`{=html} {#nostalgebraist-2025-section}

**[`hydrogen jukeboxes: on the crammed poetics of ‘creative writing’ LLMs`{=html}](https://nostalgebraist.tumblr.com/post/778041178124926976/hydrogen-jukeboxes "'hydrogen jukeboxes: on the crammed poetics of ‘creative writing’ LLMs', nostalgebraist 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="tumblr" link-icon-type="svg"
link-icon-color="#001935"}**

## `“Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models”, Rajeev et al 2025`{=html} {#rajeev-et-al-2025-section}

**[`Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models`{=html}](https://arxiv.org/abs/2503.01781 "'Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models', Rajeev et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Rank1: Test-Time Compute for Reranking in Information Retrieval”, Weller et al 2025`{=html} {#weller-et-al-2025-section}

**[`Rank1: Test-Time Compute for Reranking in Information Retrieval`{=html}](https://arxiv.org/abs/2502.18418 "'Rank1: Test-Time Compute for Reranking in Information Retrieval', Weller et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Fiction.live: LiveBench Results, 25 February 2025: Real-World Long Context Benchmark for Writers”`{=html} {#_tULrQJ8r-section}

**[`Fiction.live: liveBench results, 25 February 2025: Real-World Long Context Benchmark for Writers`{=html}](https://fiction.live/stories/Fiction-liveBench-Feb-25-2025/oQdzQvKHw8JyXbN87 "Fiction.live: liveBench results, 25 February 2025: Real-World Long Context Benchmark for Writers"){.link-annotated-partial
.id-not .include-annotation}**

## `“Spontaneous Giving and Calculated Greed in Language Models”, Li & Shirado 2025`{=html} {#li-shirado-2025-section}

**[`Spontaneous Giving and Calculated Greed in Language Models`{=html}](https://arxiv.org/abs/2502.17720 "'Spontaneous Giving and Calculated Greed in Language Models', Li & Shirado 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks”, Salido et al 2025`{=html} {#salido-et-al-2025-section}

**[`None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks`{=html}](https://arxiv.org/abs/2502.12896 "'None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks', Salido et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Idiosyncrasies in Large Language Models”, Sun et al 2025`{=html} {#sun-et-al-2025-section}

**[`Idiosyncrasies in Large Language Models`{=html}](https://arxiv.org/abs/2502.12150#facebook "'Idiosyncrasies in Large Language Models', Sun et al 2025"){.link-annotated
.id-not .include-annotation link-icon="facebook" link-icon-type="svg"
link-icon-color="#1877f2"}**

## `“DS R1 Is Not on Par With OA O1, and the Difference Is Qualitative, Not Quantitative: Long-Tail Benchmarks Reveal Gaps”, Polshkov 2025`{=html} {#polshkov-2025-section}

**[`DS R1 is not on par with OA o1, and the difference is qualitative, not quantitative: Long-tail benchmarks reveal gaps`{=html}](https://toloka.ai/blog/r1-is-not-on-par-with-o1-and-the-difference-is-qualitative-not-quantitative/ "'DS R1 is not on par with OA o1, and the difference is qualitative, not quantitative: Long-tail benchmarks reveal gaps', Polshkov 2025"){.link-annotated
.id-not .include-annotation}**

## `“Do Large Language Model Benchmarks Test Reliability?”, Vendrow et al 2025`{=html} {#vendrow-et-al-2025-section}

**[`Do Large Language Model Benchmarks Test Reliability?`{=html}](https://arxiv.org/abs/2502.03461 "'Do Large Language Model Benchmarks Test Reliability?', Vendrow et al 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“Thought Bubble: I Am Pleased to Report That AI Is Now a Better Poet Than William McGonagall”, Hugh-Jones 2025`{=html} {#hugh-jones-2025-section}

**[`Thought bubble: I am pleased to report that AI is now a better poet than William McGonagall`{=html}](https://substack.com/home/post/p-156564391 "'Thought bubble: I am pleased to report that AI is now a better poet than William McGonagall', Hugh-Jones 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="substack" link-icon-type="svg"
link-icon-color="#ff6719"}**

## `“Cerebras Launches World’s Fastest DeepSeek R1 Llama-70B Inference”, Wang 2025`{=html} {#wang-2025-r1-section}

**[`Cerebras Launches World’s Fastest DeepSeek R1 Llama-70B Inference`{=html}](https://cerebras.ai/blog/cerebras-launches-worlds-fastest-deepseek-r1-llama-70b-inference "'Cerebras Launches World’s Fastest DeepSeek R1 Llama-70B Inference', Wang 2025"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Wiz Research Uncovers Exposed DeepSeek Database Leaking Sensitive Information, Including Chat History”, Research 2025`{=html} {#research-2025-section}

**[`Wiz Research Uncovers Exposed DeepSeek Database Leaking Sensitive Information, Including Chat History`{=html}](https://www.wiz.io/blog/wiz-research-uncovers-exposed-deepseek-database-leak "'Wiz Research Uncovers Exposed DeepSeek Database Leaking Sensitive Information, Including Chat History', Research 2025"){.id-not
.include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Anomalous Tokens in DeepSeek-V3 & Deep-Seek-R1”, Henry 2025`{=html} {#henry-2025-section}

**[`Anomalous Tokens in DeepSeek-V3 & Deep-Seek-r1`{=html}](https://outsidetext.substack.com/p/anomalous-tokens-in-deepseek-v3-and "'Anomalous Tokens in DeepSeek-V3 & Deep-Seek-r1', Henry 2025"){.id-not
.include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning”, Guo et al 2025`{=html} {#guo-et-al-2025-section}

**[`DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning`{=html}](https://arxiv.org/abs/2501.12948#deepseek "'DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning', Guo et al 2025"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“On DeepSeek’s R1”, Mowshowitz 2025`{=html} {#mowshowitz-2025-section}

**[`On DeepSeek’s r1`{=html}](https://thezvi.wordpress.com/2025/01/22/on-deepseeks-r1/ "'On DeepSeek’s r1', Mowshowitz 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“How Has DeepSeek Improved the Transformer Architecture?”, Erdil 2025`{=html} {#erdil-2025-section}

**[`How has DeepSeek improved the Transformer architecture?`{=html}](https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture "'How has DeepSeek improved the Transformer architecture?', Erdil 2025"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Are DeepSeek R1 And Other Reasoning Models More Faithful?”, Chua & Evans 2025`{=html} {#chua-evans-2025-section}

**[`Are DeepSeek R1 And Other Reasoning Models More Faithful?`{=html}](https://arxiv.org/abs/2501.08156 "'Are DeepSeek R1 And Other Reasoning Models More Faithful?', Chua & Evans 2025"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“AI Chatbots Are Becoming Lifelines for China’s Sick and Lonely”`{=html} {#_fRR77Lx3-section}

**[`AI chatbots are becoming lifelines for China’s sick and lonely`{=html}](https://restofworld.org/2025/ai-chatbot-china-sick/ "AI chatbots are becoming lifelines for China’s sick and lonely"){.link-annotated-partial
.id-not .include-annotation}**

## `“DeepSeek-V3 Technical Report”, DeepSeek et al 2024`{=html} {#deepseek-et-al-2024-v3-section}

**[`DeepSeek-V3 Technical Report`{=html}](https://arxiv.org/abs/2412.19437#deepseek "'DeepSeek-V3 Technical Report', DeepSeek et al 2024"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation”, Carlsson et al 2024`{=html} {#carlsson-et-al-2024-section}

**[`The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation`{=html}](https://arxiv.org/abs/2412.04318 "'The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation', Carlsson et al 2024"){.link-annotated
.id-not .include-annotation link-icon="𝛘" link-icon-type="text"
link-icon-color="#b31b1b"}**

## `“DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data”, Xin et al 2024`{=html} {#xin-et-al-2024-section}

**[`DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data`{=html}](https://arxiv.org/abs/2405.14333#deepseek "'DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data', Xin et al 2024"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek-V2: A Strong, Economical, and Efficient Mixture-Of-Experts Language Model”, DeepSeek et al 2024`{=html} {#deepseek-et-al-2024-v2-section}

**[`DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model`{=html}](https://arxiv.org/abs/2405.04434#deepseek "'DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model', DeepSeek et al 2024"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models”, Shao et al 2024`{=html} {#shao-et-al-2024-2-section}

**[`DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models`{=html}](https://arxiv.org/abs/2402.03300#deepseek "'DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models', Shao et al 2024"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek LLM: Scaling Open-Source Language Models With Longtermism”, Bi et al 2024`{=html} {#bi-et-al-2024-section}

**[`DeepSeek LLM: Scaling Open-Source Language Models with Longtermism`{=html}](https://arxiv.org/abs/2401.02954#deepseek "'DeepSeek LLM: Scaling Open-Source Language Models with Longtermism', Bi et al 2024"){.link-annotated
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“How AI Models Stack Up Against My 11-Year-Old?”`{=html} {#_R5gKknLh-section}

**[`How AI Models Stack Up Against My 11-Year-Old?`{=html}](https://blog.michalprzadka.com/posts/gmil-benchmark/ "How AI Models Stack Up Against My 11-Year-Old?"){.link-annotated-partial
.id-not .include-annotation}**

## `“DeepSeek-R1 Alignment Faking”, CG80499 2026`{=html} {#_GDNChISv-section}

**[`DeepSeek-R1 alignment faking`{=html}](https://github.com/CG80499/deepseek-alignment-faking "'DeepSeek-R1 alignment faking', CG80499 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“True Story of Pangu: 诺亚盘古大模型研发背后的真正的心酸与黑暗的故事。[Model Plagiarism]”, Whistleblower 2026`{=html} {#_17c6M0zf-section}

**[`True Story of Pangu: 诺亚盘古大模型研发背后的真正的心酸与黑暗的故事。[model plagiarism]`{=html}](https://github.com/HW-whistleblower/True-Story-of-Pangu "'True Story of Pangu: 诺亚盘古大模型研发背后的真正的心酸与黑暗的故事。[model plagiarism]', Whistleblower 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="github" link-icon-type="svg"}**

## `“TinyZero”, Pan 2026`{=html} {#_y8xqbJui-section}

**[`TinyZero`{=html}](https://github.com/Jiayi-Pan/TinyZero "'TinyZero', Pan 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="github" link-icon-type="svg"}**

## `“DeepSeek-V3”`{=html} {#_YpkvUekt-section}

**[`DeepSeek-V3`{=html}](https://github.com/deepseek-ai/DeepSeek-V3 "DeepSeek-V3"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“<code>elimination_game</code>: A Multi-Player Tournament Benchmark That Tests LLMs in Social Reasoning, Strategy, & Deception. Players Engage in Public & Private Conversations, Form Alliances, & Vote to Eliminate Each Other”, Mazur 2026`{=html} {#_DBBIOGlg-section}

**[`<code>elimination_game</code>: A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, & deception. Players engage in public & private conversations, form alliances, & vote to eliminate each other`{=html}](https://github.com/lechmazur/elimination_game/ "'<code>elimination_game</code>: A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, & deception. Players engage in public & private conversations, form alliances, & vote to eliminate each other', Mazur 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="github" link-icon-type="svg"}**

## `“HuggingFace: DeepSeek-R1”`{=html} {#_GNrcW7Es-section}

**[`HuggingFace: DeepSeek-R1`{=html}](https://huggingface.co/deepseek-ai/DeepSeek-R1 "HuggingFace: DeepSeek-R1"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Was Zuckerberg Right about Chinese AI Models?”`{=html} {#_Y2MNP_2E-section}

**[`Was Zuckerberg Right about Chinese AI Models?`{=html}](https://interconnected.blog/was-zuck-right-about-chinese-ai-models/ "Was Zuckerberg Right about Chinese AI Models?"){.link-annotated-partial
.id-not .include-annotation}**

## `“On MLA”`{=html} {#_VueYRNjC-section}

**[`On MLA`{=html}](https://planetbanatt.net/articles/mla.html "On MLA"){.link-annotated-partial
.id-not .include-annotation}**

## `“For the First Time—And It Brings Me No Joy to Admit This…”, Sun 2026`{=html} {#_wOpgXeoW-section}

**[`For the first time—and it brings me no joy to admit this…`{=html}](https://substack.com/@jasmine/note/c-88814858 "'For the first time—and it brings me no joy to admit this…', Sun 2026"){.id-not
.include-annotation link-icon="substack" link-icon-type="svg"
link-icon-color="#ff6719"}**

## `“Interview With DeepSeek Founder: We’re Done Following. It’s Time to Lead.”`{=html} {#_LglmWFMf-section}

**[`Interview with DeepSeek Founder: We’re Done Following. It’s Time to Lead.`{=html}](https://thechinaacademy.org/interview-with-deepseek-founder-were-done-following-its-time-to-lead/ "Interview with DeepSeek Founder: We’re Done Following. It’s Time to Lead."){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek: The Quiet Giant Leading China’s AI Race”`{=html} {#_W0ma9R25-section}

**[`DeepSeek: The Quiet Giant Leading China’s AI Race`{=html}](https://www.chinatalk.media/p/deepseek-ceo-interview-with-chinas "DeepSeek: The Quiet Giant Leading China’s AI Race"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek: The View from China”`{=html} {#_gUsHoTwI-section}

**[`DeepSeek: The View from China`{=html}](https://www.chinatalk.media/p/deepseek-the-view-from-china "DeepSeek: The View from China"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“DeepSeek’s Edge”`{=html} {#_Z53t3Ypg-section}

**[`DeepSeek’s Edge`{=html}](https://www.chinatalk.media/p/deepseeks-edge "DeepSeek’s Edge"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Is China Racing to AGI?”`{=html} {#_n1ocq72x-section}

**[`Is China Racing to AGI?`{=html}](https://www.chinatalk.media/p/is-china-agi-pilled "Is China Racing to AGI?"){.link-annotated-partial
.id-not .include-annotation}**

## `“DeepSeek”`{=html} {#_pgypiy7E-section}

**[`DeepSeek`{=html}](https://www.deepseek.com/ "DeepSeek"){.id-not
.include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“A High Level Closed-Door Session Discussing DeepSeek: Vision Trumps Technology”`{=html} {#_grCB6vBe-section}

**[`A High Level Closed-Door Session Discussing DeepSeek: Vision Trumps Technology`{=html}](https://www.lesswrong.com/posts/JTKaR5q59BgDp6rH8/a-high-level-closed-door-session-discussing-deepseek-vision "A High Level Closed-Door Session Discussing DeepSeek: Vision Trumps Technology"){.link-annotated-partial
.id-not .include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

## `“Two Interviews With the Founder of DeepSeek”`{=html} {#_zVbMTkD4-section}

**[`Two interviews with the founder of DeepSeek`{=html}](https://www.lesswrong.com/posts/kANyEjDDFWkhSKbcK/two-interviews-with-the-founder-of-deepseek#deepseek "Two interviews with the founder of DeepSeek"){.id-not
.include-annotation link-icon="deepseek" link-icon-type="svg"
link-icon-color="#4d6bfe"}**

::: aux-links-transclude-file
::: collapse
**View HTML**:

[`/doc/www/www.greaterwrong.com/704bf1520821f8df1ea15ce6ed9bf73bd25f313c.html#deepseek`](/doc/www/www.greaterwrong.com/704bf1520821f8df1ea15ce6ed9bf73bd25f313c.html#deepseek){.id-not
.link-annotated-not .include-content .include-lazy link-icon="deepseek"
link-icon-type="svg" link-icon-color="#4d6bfe"}
:::
:::

## `“Censored LLMs As a Natural Testbed for Secret Knowledge Elicitation”`{=html} {#_KKVpOxiY-section}

**[`Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation`{=html}](https://www.lesswrong.com/posts/xq5taGA6Tz6YShCB9/censored-llms-as-a-natural-testbed-for-secret-knowledge-2 "Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation"){.link-annotated-partial
.id-not .include-annotation link-icon="LW" link-icon-type="text"
link-icon-color="#7faf83"}**

## `aiamblichus`{=html} {#_mb-WLsHa-section}

**[`<span class=editorial>[Inverting <em>Paradise Lost</em> with DeepSeek-r1]</span>`{=html}](https://x.com/aiamblichus/status/1884022422116176083 "'<span class=editorial>[Inverting <em>Paradise Lost</em> with DeepSeek-r1]</span>', aiamblichus 2026"){.id-not
.include-annotation link-icon="twitter" link-icon-type="svg"
link-icon-color="#1da1f2"}**

::: aux-links-transclude-file
[`https://x.com/aiamblichus/status/1884022422116176083`](https://x.com/aiamblichus/status/1884022422116176083 "'<span class=editorial>[Inverting <em>Paradise Lost</em> with DeepSeek-r1]</span>', aiamblichus 2026"){.id-not
.include-content}
:::

## `ryunuck`{=html} {#_QJyqx6QW-section}

**[`[r1 sycophancy and echo chamber example]`{=html}](https://x.com/ryunuck/status/1882283173523894493 "'[r1 sycophancy and echo chamber example]', ryunuck 2026"){.link-annotated-partial
.id-not .include-annotation link-icon="twitter" link-icon-type="svg"
link-icon-color="#1da1f2"}**

## `teortaxesTex`{=html} {#_gKc8xZvg-section}

**[`[DeepSeek-r1 solving Russian pun]`{=html}](https://x.com/teortaxesTex/status/1879874030372802930 "'[DeepSeek-r1 solving Russian pun]', teortaxesTex 2026"){.id-not
.include-annotation link-icon="twitter" link-icon-type="svg"
link-icon-color="#1da1f2"}**

::: aux-links-transclude-file
[`https://x.com/teortaxesTex/status/1879874030372802930`](https://x.com/teortaxesTex/status/1879874030372802930 "'[DeepSeek-r1 solving Russian pun]', teortaxesTex 2026"){.id-not
.include-content}
:::

## `teortaxesTex`{=html} {#_iwbmVvlN-section}

**[`[DeepSeek-r1 meta-AI fiction prompt]`{=html}](https://x.com/teortaxesTex/status/1901724548900221366 "'[DeepSeek-r1 meta-AI fiction prompt]', teortaxesTex 2026"){.id-not
.include-annotation link-icon="twitter" link-icon-type="svg"
link-icon-color="#1da1f2"}**

::: aux-links-transclude-file
[`https://x.com/teortaxesTex/status/1901724548900221366`](https://x.com/teortaxesTex/status/1901724548900221366 "'[DeepSeek-r1 meta-AI fiction prompt]', teortaxesTex 2026"){.id-not
.include-content}
:::

## Sort By Magic

::: {demo-type="sort-by-magic-preface"}
Annotations sorted by machine learning into [inferred \'tags\'](/design#future-tag-features){#gwern-design--future-tag-features
.link-annotated-partial}. This provides an alternative way to browse: instead of by *date* order, one can browse in *topic* order. The \'sorted\' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.

Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
:::

### `ocr-compression` {.collapse title="Machine-generated tag name for the following cluster of links."}

[\[see previous entry\]](#wei-et-al-2025-section){.include
.include-even-when-collapsed}

### `reasoning-adversarial` {.collapse title="Machine-generated tag name for the following cluster of links."}

[\[see previous entry\]](#rajeev-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#li-2025-section){.include
.include-even-when-collapsed}

### `benchmarking` {.collapse title="Machine-generated tag name for the following cluster of links."}

[\[see previous entry\]](#huang-et-al-2026-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#casademunt-et-al-2026-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#vendrow-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#li-et-al-2025-section){.include
.include-even-when-collapsed}

### `deepseek-llm` {.collapse title="Machine-generated tag name for the following cluster of links."}

[\[see previous entry\]](#bi-et-al-2024-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#deepseek-et-al-2024-v2-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#deepseek-et-al-2024-v3-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#zhao-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#deepseek-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#guo-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#dang-ngo-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#shao-et-al-2024-2-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#he-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#xin-et-al-2024-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#petrov-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#salido-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#chua-evans-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#lee-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#carlsson-et-al-2024-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#sun-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#russell-et-al-2026-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#phan-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#aiken-2026-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#verma-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#li-shirado-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#mukherjee-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#weller-et-al-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#polshkov-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#metr-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#anonymous-2026-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#sophia-2025-section){.include
.include-even-when-collapsed}

[\[see previous entry\]](#wang-2025-r1-section){.include
.include-even-when-collapsed}

## Wikipedia (1) {#titled-links-wikipedia .collapse}

1.  **[`Liang Wenfeng`{=html}](https://en.wikipedia.org/wiki/Liang_Wenfeng "Liang Wenfeng"){.id-not
    .include-annotation link-icon="wikipedia" link-icon-type="svg"}**

    ::: aux-links-transclude-file
    [`https://en.wikipedia.org/wiki/Liang_Wenfeng`](https://en.wikipedia.org/wiki/Liang_Wenfeng "Liang Wenfeng"){.id-not
    .include-content include-template="$annotationFileIncludeTemplate"}
    :::

# Miscellaneous

-   **[`<code>https://x.com/kalomaze/status/1957632770521591916</code>`{=html}](https://x.com/kalomaze/status/1957632770521591916 "kalomaze 2025"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/kalomaze/status/1957632770521591916`](https://x.com/kalomaze/status/1957632770521591916 "kalomaze 2025"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/xlr8harder/status/1929895854896209937</code>`{=html}](https://x.com/xlr8harder/status/1929895854896209937 "xlr8harder 2025"){.link-annotated-partial
    .id-not .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

-   **[`<code>https://x.com/sam_paech/status/1928187246689112197</code>`{=html}](https://x.com/sam_paech/status/1928187246689112197 "sam_paech 2025"){.link-annotated-partial
    .id-not .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

-   **[`<code>https://github.com/deepseek-ai/open-infra-index/blob/main/202502OpenSourceWeek/day_6_one_more_thing_deepseekV3R1_inference_system_overview</code>`{=html}](https://github.com/deepseek-ai/open-infra-index/blob/main/202502OpenSourceWeek/day_6_one_more_thing_deepseekV3R1_inference_system_overview){.link-annotated-partial
    .id-not .include-annotation link-icon="deepseek"
    link-icon-type="svg" link-icon-color="#4d6bfe"}**

-   **[`<code>https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash/blob/main/DeepSeek_V41_Tech_Report.pdf</code>`{=html}](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash/blob/main/DeepSeek_V41_Tech_Report.pdf){.link-modified-recently
    .id-not .include-annotation link-icon="deepseek"
    link-icon-type="svg" link-icon-color="#4d6bfe"}**

-   **[`<code>https://www.reddit.com/r/mlscaling/comments/1rcvev2/anthropic_claims_to_have_identified/o7269v0/</code>`{=html}](https://www.reddit.com/r/mlscaling/comments/1rcvev2/anthropic_claims_to_have_identified/o7269v0/ "COAGULOPATH 2026"){.link-annotated-partial
    .id-not .include-annotation link-icon="reddit" link-icon-type="svg"
    link-icon-color="#ff4500"}**

-   **[`<code>https://www.tumblr.com/nostalgebraist/778041178124926976/hydrogen-jukeboxes</code>`{=html}](https://www.tumblr.com/nostalgebraist/778041178124926976/hydrogen-jukeboxes){.link-annotated-partial
    .id-not .include-annotation link-icon="tumblr" link-icon-type="svg"
    link-icon-color="#001935"}**

-   **[`<code>https://x.com/JJitsev/status/1883158764863537336</code>`{=html}](https://x.com/JJitsev/status/1883158764863537336 "JJitsev 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/JJitsev/status/1883158764863537336`](https://x.com/JJitsev/status/1883158764863537336 "JJitsev 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/Jukanlosreve/status/1890750137338933632</code>`{=html}](https://x.com/Jukanlosreve/status/1890750137338933632 "Jukanlosreve 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/Jukanlosreve/status/1890750137338933632`](https://x.com/Jukanlosreve/status/1890750137338933632 "Jukanlosreve 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/Shalev_lif/status/1883214799938396356</code>`{=html}](https://x.com/Shalev_lif/status/1883214799938396356 "Shalev_lif 2026"){.link-annotated-partial
    .id-not .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

-   **[`<code>https://x.com/_sinity/status/1884031317375082719</code>`{=html}](https://x.com/_sinity/status/1884031317375082719 "Sinity 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/_sinity/status/1884031317375082719`](https://x.com/_sinity/status/1884031317375082719 "Sinity 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/anderssandberg/status/1881839255028474306</code>`{=html}](https://x.com/anderssandberg/status/1881839255028474306 "Sandberg 2026"){.link-annotated-partial
    .id-not .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

-   **[`<code>https://x.com/arcprize/status/2028563647212265565</code>`{=html}](https://x.com/arcprize/status/2028563647212265565 "arcprize 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/arcprize/status/2028563647212265565`](https://x.com/arcprize/status/2028563647212265565 "arcprize 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/dylan522p/status/1859302712803807696</code>`{=html}](https://x.com/dylan522p/status/1859302712803807696 "Patel 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/dylan522p/status/1859302712803807696`](https://x.com/dylan522p/status/1859302712803807696 "Patel 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/goodside/status/1883317385383547282</code>`{=html}](https://x.com/goodside/status/1883317385383547282 "Goodside 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/goodside/status/1883317385383547282`](https://x.com/goodside/status/1883317385383547282 "Goodside 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/jd_pressman/status/1892649816402100601</code>`{=html}](https://x.com/jd_pressman/status/1892649816402100601 "jd_pressman 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/jd_pressman/status/1892649816402100601`](https://x.com/jd_pressman/status/1892649816402100601 "jd_pressman 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/jonathanroomer/status/1882545313237660049</code>`{=html}](https://x.com/jonathanroomer/status/1882545313237660049 "jonathanroomer 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/jonathanroomer/status/1882545313237660049`](https://x.com/jonathanroomer/status/1882545313237660049 "jonathanroomer 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/jukan05/status/2047516566149816627</code>`{=html}](https://x.com/jukan05/status/2047516566149816627 "jukan05 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/jukan05/status/2047516566149816627`](https://x.com/jukan05/status/2047516566149816627 "jukan05 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/lishali88/status/1893197683185328188</code>`{=html}](https://x.com/lishali88/status/1893197683185328188 "Li 2026"){.link-annotated-partial
    .id-not .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

-   **[`<code>https://x.com/max_paperclips/status/1881297954042249231</code>`{=html}](https://x.com/max_paperclips/status/1881297954042249231 "max_paperclips 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/max_paperclips/status/1881297954042249231`](https://x.com/max_paperclips/status/1881297954042249231 "max_paperclips 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/mrexodia/status/2090806161813405917</code>`{=html}](https://x.com/mrexodia/status/2090806161813405917 "mrexodia 2026"){.link-modified-recently
    .link-annotated-partial .id-not .include-annotation
    link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

-   **[`<code>https://x.com/ohlennart/status/1882967853177192876</code>`{=html}](https://x.com/ohlennart/status/1882967853177192876 "ohlennart 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/ohlennart/status/1882967853177192876`](https://x.com/ohlennart/status/1882967853177192876 "ohlennart 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/repligate/status/1884791264035602476</code>`{=html}](https://x.com/repligate/status/1884791264035602476 "Janus 2026"){.link-annotated-partial
    .id-not .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

-   **[`<code>https://x.com/teortaxesTex/status/1883288169279594782</code>`{=html}](https://x.com/teortaxesTex/status/1883288169279594782 "teortaxesTex 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/teortaxesTex/status/1883288169279594782`](https://x.com/teortaxesTex/status/1883288169279594782 "teortaxesTex 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/teortaxesTex/status/1883290697228562867</code>`{=html}](https://x.com/teortaxesTex/status/1883290697228562867 "teortaxesTex 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/teortaxesTex/status/1883290697228562867`](https://x.com/teortaxesTex/status/1883290697228562867 "teortaxesTex 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/teortaxesTex/status/2080142814550147376</code>`{=html}](https://x.com/teortaxesTex/status/2080142814550147376 "teortaxesTex 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/teortaxesTex/status/2080142814550147376`](https://x.com/teortaxesTex/status/2080142814550147376 "teortaxesTex 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/teortaxesTex/status/2080143652207100339</code>`{=html}](https://x.com/teortaxesTex/status/2080143652207100339 "teortaxesTex 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/teortaxesTex/status/2080143652207100339`](https://x.com/teortaxesTex/status/2080143652207100339 "teortaxesTex 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/teortaxesTex/status/2080146784853045312</code>`{=html}](https://x.com/teortaxesTex/status/2080146784853045312 "teortaxesTex 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/teortaxesTex/status/2080146784853045312`](https://x.com/teortaxesTex/status/2080146784853045312 "teortaxesTex 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/teortaxesTex/status/2080152343383810316</code>`{=html}](https://x.com/teortaxesTex/status/2080152343383810316 "teortaxesTex 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/teortaxesTex/status/2080152343383810316`](https://x.com/teortaxesTex/status/2080152343383810316 "teortaxesTex 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/teortaxesTex/status/2080155926011457560</code>`{=html}](https://x.com/teortaxesTex/status/2080155926011457560 "teortaxesTex 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/teortaxesTex/status/2080155926011457560`](https://x.com/teortaxesTex/status/2080155926011457560 "teortaxesTex 2026"){.id-not
    .include-content}
    :::

-   **[`<code>https://x.com/tom_doerr/status/1882946932307591561</code>`{=html}](https://x.com/tom_doerr/status/1882946932307591561 "tom_doerr 2026"){.link-annotated-partial
    .id-not .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

-   **[`<code>https://x.com/wzihanw/status/1872826641518395587</code>`{=html}](https://x.com/wzihanw/status/1872826641518395587 "wzihanw 2026"){.id-not
    .include-annotation link-icon="twitter" link-icon-type="svg"
    link-icon-color="#1da1f2"}**

    ::: aux-links-transclude-file
    [`https://x.com/wzihanw/status/1872826641518395587`](https://x.com/wzihanw/status/1872826641518395587 "wzihanw 2026"){.id-not
    .include-content}
    :::

# Bibliography {#link-bibliography-section}

1.  `https://www.lowimpactfruit.com/p/zork-bench-an-llm-reasoning-eval`:
    [`“Zork-Bench: An LLM Reasoning Eval Based on Text Adventure Games; a Tale As Old As Time, or at Least As Old As Computers”`{=html}](https://www.lowimpactfruit.com/p/zork-bench-an-llm-reasoning-eval "'zork-bench: An LLM reasoning eval based on text adventure games; a tale as old as time, or at least as old as computers', Aiken 2026"){#aiken-2026
    .link-annotated}, [John Aiken]{.author .cite-author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Fwww.lowimpactfruit.com%252Fp%252Fzork-bench-an-llm-reasoning-eval.html "Directory-tag link-bibliography for link https://www.lowimpactfruit.com/p/zork-bench-an-llm-reasoning-eval"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

2.  `https://arxiv.org/abs/2512.02556#deepseek`:
    [`“DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models”`{=html}](https://arxiv.org/abs/2512.02556#deepseek "'DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models', DeepSeek et al 2025"){#deepseek-et-al-2025
    .link-annotated},
    [[DeepSeek](https://www.deepseek.com/ "DeepSeek"){.id-not}, Aixin Liu, Aoxue Mei[, Bangcai Lin, Bing Xue, Bingxuan Wang, Bingzheng Xu, Bochao Wu, Bowei Zhang, Chaofan Lin, Chen Dong, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenhao Xu, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Erhang Li, Fangqi Zhou, Fangyun Lin, Fucong Dai, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Hanwei Xu, [Hao Li](https://en.wikipedia.org/wiki/Hao_Li "Hao Li"){.id-not}, Haofen Liang, Haoran Wei, Haowei Zhang, Haowen Luo, Haozhe Ji, Honghui Ding, Hongxuan Tang, Huanqi Cao, Huazuo Gao, Hui Qu, Hui Zeng, Jialiang Huang, Jiashi Li, Jiaxin Xu, Jiewen Hu, Jingchang Chen, Jingting Xiang, Jingyang Yuan, Jingyuan Cheng, Jinhua Zhu, Jun Ran, Junguang Jiang, Junjie Qiu, Junlong Li, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Kexin Huang, Kexing Zhou, Kezhao Huang, Kuai Yu, Lean Wang, Lecong Zhang, Lei Wang, [Liang Zhao](https://en.wikipedia.org/wiki/Liang_Zhao "Liang Zhao"){.link-modified-recently
    .id-not}, Liangsheng Yin, Lihua Guo, Lingxiao Luo, Linwang Ma, Litong Wang, Liyue Zhang, M. S. Di, M. Y. Xu, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingxu Zhou, Panpan Huang, Peixin Cong, Peiyi Wang, Qiancheng Wang, Qihao Zhu, Qingyang Li, Qinyu Chen, Qiushi Du, Ruiling Xu, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, Runqiu Yin, Runxin Xu, Ruomeng Shen, Ruoyu Zhang, S. H. Liu, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaofei Cai, Shaoyuan Chen, Shengding Hu, Shengyu Liu, Shiqiang Hu, Shirong Ma, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, Songyang Zhou, Tao Ni, Tao Yun, Tian Pei, Tian Ye, Tianyuan Yue, Wangding Zeng, Wen Liu, [Liang Wenfeng](https://en.wikipedia.org/wiki/Liang_Wenfeng "Liang Wenfeng"){.id-not}, Wenjie Pang, Wenjing Luo, Wenjun Gao, Wentao Zhang, Xi Gao, Xiangwen Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaokang Zhang, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xingkai Yu, Xingyou Li, Xinyu Yang, Xinyuan Li, [Xu Chen](https://en.wikipedia.org/wiki/Xu_Chen "Xu Chen"){.id-not}, Xuecheng Su, Xuehai Pan, Xuheng Lin, Xuwei Fu, Y. Q. Wang, Yang Zhang, Yanhong Xu, Yanru Ma, Yao Li, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Qian, [Yi Yu](https://en.wikipedia.org/wiki/Yi_Yu "Yi Yu"){.id-not}, Yichao Zhang, Yifan Ding, Yifan Shi, Yiliang Xiong, Ying He, Ying Zhou, Yinmin Zhong, Yishi Piao, Yisong Wang, Yixiao Chen, Yixuan Tan, Yixuan Wei, Yiyang Ma, Yiyuan Liu, Yonglun Yang, Yongqiang Guo, Yongtong Wu, Yu Wu, Yuan Cheng, Yuan Ou, Yuanfan Xu, Yuduan Wang, Yue Gong, Yuhan Wu, Yuheng Zou, Yukun Li, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Z. F. Wu, Z. Z. Ren, Zehua Zhao, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhibin Gou, Zhicheng Ma, Zhigang Yan, Zhihong Shao, Zhixian Huang, Zhiyu Wu, Zhuoshu Li, Zhuping Zhang, Zian Xu, Zihao Wang, Zihui Gu, Zijia Zhu, Zilin Li, Zipeng Zhang, Ziwei Xie, Ziyi Gao, Zizheng Pan, Zongqing Yao, Bei Feng, Hui Li, J. L. Cai, Jiaqi Ni, [Lei Xu](https://en.wikipedia.org/wiki/Lei_Xu "Lei Xu"){.id-not}, Meng Li, Ning Tian, R. J. Chen, R. L. Jin, S. S. Li, Shuang Zhou, Tianyu Sun, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xinnan Song, Xinyi Zhou, Y. X. Zhu, [Yanping Huang](https://scholar.google.com/citations?user=uEtBQScAAAAJ "Yanping Huang"){.id-not}, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, Dongjie Ji, Jian Liang, Jianzhong Guo, Jin Chen, Leyi Xia, Miaojun Wang, Mingming Li, [Peng Zhang](https://sites.google.com/site/pengzhang27182/ "Peng Zhang’s homepage"){.id-not}, Ruyi Chen, Shangmian Sun, Shaoqing Wu, Shengfeng Ye, T. Wang, W. L. Xiao, Wei An, Xianzu Wang, Xiaowen Sun, Xiaoxiang Wang, Ying Tang, Yukun Zha, Zekai Zhang, Zhe Ju, Zhen Zhang, Zihua Qu]{.collapse}]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2512.02556%2523deepseek.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2512.02556#deepseek"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

3.  `https://www.reuters.com/world/china/deepseek-r2-launch-stalled-ceo-balks-progress-information-reports-2025-06-26/`:
    [`“DeepSeek R2 Launch Stalled As CEO Balks at Progress, The Information Reports”`{=html}](https://www.reuters.com/world/china/deepseek-r2-launch-stalled-ceo-balks-progress-information-reports-2025-06-26/ "'DeepSeek R2 launch stalled as CEO balks at progress, The Information reports', Sophia 2025"){#sophia-2025
    .link-annotated}, [Deborah Sophia]{.author .cite-author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Fwww.reuters.com%252Fworld%252Fchina%252Fdeepseek-r2-launch-stalled-ceo-balks-progress-information-reports-2025-06-26%252F.html "Directory-tag link-bibliography for link https://www.reuters.com/world/china/deepseek-r2-launch-stalled-ceo-balks-progress-information-reports-2025-06-26/"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

4.  `https://arxiv.org/abs/2505.11711`:
    [`“Reinforcement Learning Finetunes Small Subnetworks in Large Language Models”`{=html}](https://arxiv.org/abs/2505.11711 "'Reinforcement Learning Finetunes Small Subnetworks in Large Language Models', Mukherjee et al 2025"){#mukherjee-et-al-2025
    .link-annotated},
    [Sagnik Mukherjee, [Lifan Yuan](https://en.wikipedia.org/wiki/Lifan_Yuan "Lifan Yuan"){.id-not}, Dilek Hakkani-Tur, Hao Peng]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2505.11711.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2505.11711"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

5.  `https://arxiv.org/abs/2505.09343#deepseek`:
    [`“Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures”`{=html}](https://arxiv.org/abs/2505.09343#deepseek "'Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures', Zhao et al 2025"){#zhao-et-al-2025
    .link-annotated},
    [Chenggang Zhao, Chengqi Deng, Chong Ruan[, Damai Dai, Huazuo Gao, Jiashi Li, Liyue Zhang, Panpan Huang, Shangyan Zhou, Shirong Ma, [Liang Wenfeng](https://en.wikipedia.org/wiki/Liang_Wenfeng "Liang Wenfeng"){.id-not}, Ying He, Yuqing Wang, Yuxuan Liu, Y. X. Wei]{.collapse}]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2505.09343%2523deepseek.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2505.09343#deepseek"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

6.  `https://sinopsis.cz/en/chinas-superstition-boom-in-a-godless-state/`:
    [`“China’s Superstition Boom in a Godless State § DeepSeek’s Occult Tech Boom”`{=html}](https://sinopsis.cz/en/chinas-superstition-boom-in-a-godless-state/ "'China’s Superstition Boom in a Godless State § DeepSeek’s Occult Tech Boom', Li 2025"){#li-2025
    .link-annotated}, [Ansel Li]{.author .cite-author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Fsinopsis.cz%252Fen%252Fchinas-superstition-boom-in-a-godless-state%252F.html "Directory-tag link-bibliography for link https://sinopsis.cz/en/chinas-superstition-boom-in-a-godless-state/"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

7.  `https://arxiv.org/abs/2505.07215`:
    [`“Measuring General Intelligence With Generated Games”`{=html}](https://arxiv.org/abs/2505.07215 "'Measuring General Intelligence with Generated Games', Verma et al 2025"){#verma-et-al-2025
    .link-annotated},
    [Vivek Verma, David Huang, William Chen[, [Dan Klein](https://en.wikipedia.org/wiki/Dan_Klein "Dan Klein"){.id-not}, Nicholas Tomlin]{.collapse}]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2505.07215.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2505.07215"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

8.  `https://arxiv.org/abs/2504.14379`:
    [`“The Geometry of Self-Verification in a Task-Specific Reasoning Model”`{=html}](https://arxiv.org/abs/2504.14379 "'The Geometry of Self-Verification in a Task-Specific Reasoning Model', Lee et al 2025"){#lee-et-al-2025
    .link-annotated},
    [Andrew Lee, Lihao Sun, Chris Wendler[, [Fernanda Viégas](https://en.wikipedia.org/wiki/Fernanda_Vi%C3%A9gas "Fernanda Viégas"){.id-not}, [Martin M. Wattenberg](https://en.wikipedia.org/wiki/Martin_M._Wattenberg "Martin M. Wattenberg"){.id-not}]{.collapse}]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2504.14379.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2504.14379"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

9.  `https://arxiv.org/abs/2503.21934`:
    [`“Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad”`{=html}](https://arxiv.org/abs/2503.21934 "'Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad', Petrov et al 2025"){#petrov-et-al-2025
    .link-annotated},
    [Ivo Petrov, Jasper Dekoninck, Lyuben Baltadzhiev[, Maria Drencheva, Kristian Minchev, Mislav Balunović, Nikola Jovanović, [Martin Vechev](https://en.wikipedia.org/wiki/Martin_Vechev "Martin Vechev"){.id-not}]{.collapse}]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2503.21934.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2503.21934"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

10. `https://arxiv.org/abs/2503.16219`:
    [`“Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t”`{=html}](https://arxiv.org/abs/2503.16219 "'Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t', Dang & Ngo 2025"){#dang-ngo-2025
    .link-annotated}, [Quy-Anh Dang, Chris Ngo]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2503.16219.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2503.16219"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

11. `https://arxiv.org/abs/2502.12896`:
    [`“None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks”`{=html}](https://arxiv.org/abs/2502.12896 "'None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks', Salido et al 2025"){#salido-et-al-2025
    .link-annotated},
    [Eva Sánchez Salido, Julio Gonzalo, Guillermo Marco]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2502.12896.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2502.12896"){.id-not
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12. `https://toloka.ai/blog/r1-is-not-on-par-with-o1-and-the-difference-is-qualitative-not-quantitative/`:
    [`“DS R1 Is Not on Par With OA O1, and the Difference Is Qualitative, Not Quantitative: Long-Tail Benchmarks Reveal Gaps”`{=html}](https://toloka.ai/blog/r1-is-not-on-par-with-o1-and-the-difference-is-qualitative-not-quantitative/ "'DS R1 is not on par with OA o1, and the difference is qualitative, not quantitative: Long-tail benchmarks reveal gaps', Polshkov 2025"){#polshkov-2025
    .link-annotated}, [Vitaliy Polshkov]{.author .cite-author}

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13. `https://arxiv.org/abs/2501.08156`:
    [`“Are DeepSeek R1 And Other Reasoning Models More Faithful?”`{=html}](https://arxiv.org/abs/2501.08156 "'Are DeepSeek R1 And Other Reasoning Models More Faithful?', Chua & Evans 2025"){#chua-evans-2025
    .link-annotated},
    [James Chua, [Owain Evans](https://owainevans.github.io/ "Owain Evans, AI Alignment researcher"){.link-annotated-partial
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    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}

14. `https://arxiv.org/abs/2402.03300#deepseek`:
    [`“DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models”`{=html}](https://arxiv.org/abs/2402.03300#deepseek "'DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models', Shao et al 2024"){#shao-et-al-2024-2
    .link-annotated},
    [Zhihong Shao, Peiyi Wang, Qihao Zhu[, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo]{.collapse}]{.author}

    [[link-bibliography](/metadata/annotation/link-bibliography/https%253A%252F%252Farxiv.org%252Fabs%252F2402.03300%2523deepseek.html "Directory-tag link-bibliography for link https://arxiv.org/abs/2402.03300#deepseek"){.id-not
    .include-even-when-collapsed}]{.collapse
    .tag-index-link-bibliography-block}